Household Income and Expenditure Survey 2014-2015
Liberia, 2014 - 2015
Get Microdata
Reference ID
LBR_2014_HIES_v01_M
Producer(s)
Liberia Institute for Statistics and Geo-Information Services
Metadata
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
Page views
114802
Downloads
5015
What are the final costs of traded goods that your [ENTERPRISE] deals with per w (hh_h_14_1)
Data file: HH_H
Overview
Valid:
1203
Invalid:
3196
Minimum:
0
Maximum:
400000
Type:
Discrete
Decimal:
0
Start:
147
End:
152
Width:
6
Range:
-
Format:
Questions and instructions
Literal question
What are the final costs of traded goods that your [ENTERPRISE] deals with per week/month? - Liberian dollar
Categories
| Value | Category |
|---|---|
| 0 | |
| 20 | |
| 50 | |
| 100 | |
| 150 | |
| 170 | |
| 180 | |
| 200 | |
| 230 | |
| 250 | |
| 300 | |
| 350 | |
| 375 | |
| 400 | |
| 410 | |
| 425 | |
| 430 | |
| 450 | |
| 500 | |
| 525 | |
| 550 | |
| 560 | |
| 575 | |
| 580 | |
| 600 | |
| 620 | |
| 625 | |
| 650 | |
| 700 | |
| 720 | |
| 750 | |
| 760 | |
| 800 | |
| 835 | |
| 850 | |
| 870 | |
| 875 | |
| 880 | |
| 900 | |
| 950 | |
| 970 | |
| 975 | |
| 980 | |
| 1000 | |
| 1020 | |
| 1050 | |
| 1080 | |
| 1100 | |
| 1120 | |
| 1140 | |
| 1150 | |
| 1180 | |
| 1200 | |
| 1210 | |
| 1250 | |
| 1260 | |
| 1300 | |
| 1310 | |
| 1350 | |
| 1400 | |
| 1416 | |
| 1440 | |
| 1450 | |
| 1495 | |
| 1500 | |
| 1550 | |
| 1560 | |
| 1580 | |
| 1600 | |
| 1620 | |
| 1630 | |
| 1650 | |
| 1680 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1875 | |
| 1900 | |
| 1980 | |
| 2000 | |
| 2050 | |
| 2100 | |
| 2110 | |
| 2125 | |
| 2155 | |
| 2180 | |
| 2200 | |
| 2235 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2550 | |
| 2580 | |
| 2585 | |
| 2600 | |
| 2650 | |
| 2700 | |
| 2800 | |
| 2860 | |
| 2870 | |
| 2900 | |
| 3000 | |
| 3050 | |
| 3100 | |
| 3150 | |
| 3200 | |
| 3210 | |
| 3250 | |
| 3300 | |
| 3330 | |
| 3400 | |
| 3480 | |
| 3500 | |
| 3560 | |
| 3580 | |
| 3600 | |
| 3640 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3860 | |
| 3900 | |
| 4000 | |
| 4200 | |
| 4300 | |
| 4350 | |
| 4450 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4860 | |
| 5000 | |
| 5040 | |
| 5200 | |
| 5400 | |
| 5500 | |
| 5550 | |
| 5750 | |
| 6000 | |
| 6200 | |
| 6225 | |
| 6250 | |
| 6400 | |
| 6480 | |
| 6500 | |
| 6600 | |
| 6750 | |
| 6760 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7280 | |
| 7350 | |
| 7500 | |
| 7550 | |
| 7600 | |
| 7800 | |
| 7850 | |
| 8000 | |
| 8200 | |
| 8400 | |
| 8490 | |
| 8500 | |
| 9000 | |
| 9050 | |
| 9250 | |
| 9500 | |
| 9600 | |
| 9800 | |
| 10000 | |
| 10200 | |
| 10500 | |
| 11000 | |
| 11150 | |
| 11500 | |
| 11800 | |
| 11900 | |
| 12000 | |
| 12150 | |
| 12500 | |
| 12800 | |
| 12950 | |
| 13000 | |
| 13400 | |
| 13500 | |
| 14000 | |
| 14200 | |
| 14250 | |
| 14500 | |
| 15000 | |
| 15400 | |
| 15900 | |
| 16000 | |
| 16250 | |
| 16500 | |
| 16800 | |
| 16950 | |
| 17000 | |
| 17650 | |
| 18000 | |
| 18900 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 21450 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23100 | |
| 24000 | |
| 24400 | |
| 25000 | |
| 25200 | |
| 25500 | |
| 25850 | |
| 26000 | |
| 26900 | |
| 27000 | |
| 29000 | |
| 29900 | |
| 30000 | |
| 30500 | |
| 32000 | |
| 33000 | |
| 34125 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 40000 | |
| 42000 | |
| 43000 | |
| 48000 | |
| 50000 | |
| 53615 | |
| 60000 | |
| 60500 | |
| 66000 | |
| 75000 | |
| 80000 | |
| 85000 | |
| 87000 | |
| 100000 | |
| 250000 | |
| 400000 | |
| Sysmiss |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.